Ian M. Eggleston
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Biomedical Engineering top 10%
- Plant Science top 10%
- Materials Chemistry
- Co-authors
- John D. HayesDaan M. F. van AaltenMichael KelleherChristine BonnesenAlexander J. MacRobertOle A. AndersenFrancesca GiuntiniMark J. Dixon
- Topics
- Studies on Chitinases and Chitosanases (14 papers)Nanoplatforms for cancer theranostics (13 papers)Photodynamic Therapy Research Studies (12 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ian M. Eggleston
68 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.9k
- Organic Chemistry 832
- Biomedical Engineering 325
- Plant Science 320
- Materials Chemistry 274
Countries citing papers authored by Ian M. Eggleston
This map shows the geographic impact of Ian M. Eggleston's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ian M. Eggleston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian M. Eggleston more than expected).
Fields of papers citing papers by Ian M. Eggleston
This network shows the impact of papers produced by Ian M. Eggleston. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ian M. Eggleston. The network helps show where Ian M. Eggleston may publish in the future.
Co-authorship network of co-authors of Ian M. Eggleston
This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Eggleston. A scholar is included among the top collaborators of Ian M. Eggleston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian M. Eggleston. Ian M. Eggleston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 21 | |
| 4 | 53 | |
| 5 | 16 | |
| 6 | 39 | |
| 7 | 17 | |
| 8 | 61 | |
| 9 | 37 | |
| 10 | 26 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 153 | |
| 15 | 301 | |
| 16 | 70 | |
| 17 | 67 | |
| 18 | 31 | |
| 19 | Shaping up to proteins | 0 |
| 20 | Synthesis Of Some Tetrahydrobenzodipyrans Derived From Resorcinols | 0 |
About Ian M. Eggleston
Ian M. Eggleston is a scholar working on Organic Chemistry, Biotechnology and Microbiology, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (14 papers), Nanoplatforms for cancer theranostics (13 papers) and Photodynamic Therapy Research Studies (12 papers). The work is most often cited by research in Organic Chemistry (832 citations), Molecular Biology (1.9k citations) and Toxicology (83 citations). Ian M. Eggleston has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include John D. Hayes, Daan M. F. van Aalten, Michael Kelleher, Christine Bonnesen, Alexander J. MacRobert, Ole A. Andersen, Francesca Giuntini, Mark J. Dixon, Alan H. Fairlamb and Chris J. Hamilton. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and The Science of The Total Environment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.